This PR adds error exception in fused transformer python interface.
The function body are not implemented (will be implemented later).
Following zhiqiu's comment in previous PR-35206 (merged already), it is better to raise an exception instead of using "pass".

* where op add broadcast, when x_shape == y_shape, and x_shape != cond_shape

* add static api tests, and delete debug codes

* support lodtensorarray

* [NPU] Add huber_loss op

* [NPU] Add huber_loss op

* [NPU] Add huber_loss p[

* [NPU] Add huber_loss

* [NPU] add int64 kernels, test=develop

* update ci scripts to be able to trun WITH_ASCEND_INT64 on, test=develop

* Add AsExtra for transpose

* add AsExtra for lstm op

* add AsExtra for gru

* [iscan] bugfix

* test_standalone_executor modify

* add conv2d_transpose npu op

* CopyRight 2020 to 2021

* add fp32

* delete repeat test case

* delete repeat test case

* fix paddle.NPUPlace

* add elementwise_pow_grad_npu

* fixed bug for CI

* deal with comments

* fixed bug for CI

* deal with comments

* add log_softmax_op_npu

* log_softmax_op_v1

* import test_log_softmax_grad

* [NPU] Support npu kernel for gather_ng op

* [NPU] Support npu kernel for gather_nd op

* [NPU] Support npu kernel for gather_nd and gather_nd_grad op

* update py format error.

* modify gather_nd_op_npu

* modify gather_nd 910 test

* modify gather_nd 910 test
Co-authored-by: Nxiaoxiaohehe001 <hiteezsf@163.com>

* Add SVD Op and it's GPU and CPU kernel

* Remove CUDAPlace in test_svd_op, make the test available in CPU package

* modfity the file

* fix windows bug/ fix ROCM / fix test timeout

* for pass the CIs

* improve error report

* for code review

* some modification to test_svd_op

* change python code style

* expose the svd interface for document

* [NPU] Add label_smooth_op

* [NPU] Add label_smooth_op

* support shard reader

* support shard reader

* add parallel mode

* update process mesh

* add method to compute comm_group

* implement dist_embedding forward func

* implement dist matmul forward func

* implement dist reshape forward func

* add transpiler framework

* add transpiler forward

* implement transpiler forward

* implement transpiler backward & update

* add process

* add unitest

* chmod

* chmod

* chmod

* update unitest

* add unitest for gpt

* remove unused print

* rename transpiler --> partitioner

* rename transpiler --> partitioner

* chmod

* chmod

* bug fixed

* remove amp function

* update case for dp mode

* update case for dp mode

* aded slice FWD FP32

* added tests for slice FWD FP32

* added slice bwd

* added bf16 tests

* CI fix

* CI fix

* added reason to skip_if

* minor change

* temporary fix for failing test

* temporary fix

* changes after review

* CI rerun

* merge dense

* log level

* tensor copy sync

* format

* add cache for send_recv

* add eval_batch for pipeline

* add eval batch for pipelineparallel

* add style code

* add strided_slice_grad op for npu

* support setting linewith when printing tensor

* fix ut

* refine code

* update comments

* use small precision since windows/linux has different ramdom value

* fix typo

* adjust parameter order for consistency

* add input and output docs for vision transform

* modify dy2stat error message in compile time

* fix variable name

* fix bug:When axes in paddle.sile is a tuple, an error occurs.

* polish code.

* support KL label smooth

* update UT for KL label_smooth

* Support append method and initialized value for List in ControlFlow

* polish error msg and en doc

* fix code style

* Support getitem by Bool index

* delete some debug info of bool index

* support the case that the shape of bool index is different from indexed tensor

* support setitem by bool index

* add the unittest for throwing exception

* merge conflict

* add check for int tensor when index is bool

* polish code

* fix unittest on windows

* refine pybind interface

* support statistic MemSize of AllocatorPool

* Replace mutex into atomic

This PR adds fused transformer python related files. It defines interface of fused transformer.

Fused transformer implements an optimized version of transformer layer (in python/paddle/nn/layer/transformer.py). In this PR, four layers (functions) are defined:
(1) FusedMultiHeadAttention: multi-head attention layer
(2) FusedFeedForward: feed forward layer
(3) FusedTransformerEncoderLayer: transformer encoder layer
(4) FusedTransformer: transformer layer